Sleight of hand: perception of finger motion from reduced marker sets

Ludovic Hoyet, K. Ryall, R. Mcdonnell, C. O'Sullivan
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引用次数: 57

Abstract

Subtle animation details such as finger or facial movements help to bring virtual characters to life and increase their appeal. However, it is not always possible to capture finger animations simultaneously with full-body motion, due to limitations of the setup or tight production schedules. Therefore, hand motions are often either omitted, manually created by animators, or captured during a separate session and spliced with full body animation. In this paper, we investigate the perceived fidelity of hand animations where all the degrees of freedom of the hands are computed from reduced marker sets. In a set of perceptual experiments, we found that finger motions reconstructed with inverse kinematics from a reduced marker set of eight markers per hand are perceived to be very similar to the corresponding motions reconstructed using a full set of twenty markers. We demonstrate how using this reduced set of eight large markers enabled us to capture the finger and full-body motions of two actors performing a range of relatively unconstrained actions using a 13-camera motion capture system. This serves to simplify the capture process and to significantly reduce the time for cleanup, while preserving the natural biological movements of the hands relative to the actions performed.
手法:从减少的标记组中感知手指的运动
微妙的动画细节,如手指或面部动作,有助于使虚拟人物栩栩如生,增加他们的吸引力。然而,由于设置的限制或紧张的生产计划,并不总是可以同时捕捉手指动画和全身运动。因此,手部动作通常被省略,由动画师手动创建,或者在单独的会话中捕获并与全身动画拼接。在本文中,我们研究了手部动画的感知保真度,其中手部的所有自由度都是从简化的标记集计算的。在一组感知实验中,我们发现用逆运动学从每只手8个标记的减少标记集重建的手指运动被认为与使用完整的20个标记集重建的相应运动非常相似。我们演示了如何使用这个减少的8个大型标记,使我们能够捕捉两个演员的手指和全身运动,使用13个摄像头的动作捕捉系统执行一系列相对不受约束的动作。这有助于简化捕获过程,大大减少清理时间,同时保持手部相对于所执行动作的自然生物运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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